From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms

doi:10.1109/MC.2016.292

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

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	From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms
	Xin-She Yang 1; Suash Deb 2; Simon Fong3 ; Xingshi He 4; Yu-Xin Zhao 5
	2016-09-07
Source Publication	Computer
ISSN	0018-9162
Volume	49 Issue:9 Pages:52-59
Other Abstract	Nature has provided rich models for computational problem solving, including optimizations based on the swarm intelligence exhibited by fireflies, bats, and ants. These models can stimulate computer scientists to think nontraditionally in creating tools to address application design challenges.
DOI	10.1109/MC.2016.292
Indexed By	SCIE
Language	英語English
WOS Research Area	Computer Science
WOS Subject	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS ID	WOS:000384132600008
Publisher	IEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
The Source to Article	Engineering Village
Scopus ID	2-s2.0-84987654883
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science
Citation statistics
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding Author	Xin-She Yang
Affiliation	1.Middlesex University 2.IT and Educational Consultant 3.University of Macau 4.Xi'An Polytechnic University 5.Harbin Engineering University
Recommended Citation GB/T 7714	Xin-She Yang,Suash Deb,Simon Fong,et al. From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms[J]. Computer, 2016, 49(9), 52-59.
APA	Xin-She Yang., Suash Deb., Simon Fong., Xingshi He., & Yu-Xin Zhao (2016). From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms. Computer, 49(9), 52-59.
MLA	Xin-She Yang,et al."From Swarm Intelligence to Metaheuristics: Nature-Inspired Optimization Algorithms".Computer 49.9(2016):52-59.

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